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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9067 directly classified papers
Papers per year
2010: 1
2013: 1
2017: 1
2018: 14
2019: 129
2020: 336
2021: 463
2022: 582
2023: 1165
2024: 2492
2025: 3325
2026: 558
Papers
AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages
EMNLP 2022
Who Says Elephants Can’t Run: Bringing Large Scale MoE Models into Cloud Scale Production
EMNLP 2022
Prompt Learning for Domain Adaptation in Task-Oriented Dialogue
EMNLP 2022
Who is GPT-3? An exploration of personality, values and demographics
EMNLP 2022
Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated Dataset
EMNLP 2022
Measuring Harmful Representations in Scandinavian Language Models
EMNLP 2022
AraLegal-BERT: A pretrained language model for Arabic Legal text
EMNLP 2022
ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US
EMNLP 2022
MicroBERT: Effective Training of Low-resource Monolingual BERTs through Parameter Reduction and Multitask Learning
EMNLP 2022
Investigating Math Word Problems using Pretrained Multilingual Language Models
EMNLP 2022
What Makes Data-to-Text Generation Hard for Pretrained Language Models?
EMNLP 2022
20Q: Overlap-Free World Knowledge Benchmark for Language Models
EMNLP 2022
Error Analysis of ToTTo Table-to-Text Neural NLG Models
EMNLP 2022
Most NLG is Low-Resource: here’s what we can do about it
EMNLP 2022
META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI
EMNLP 2022
Automatic Term and Sentence Classification Via Augmented Term and Pre-trained language model in ESG Taxonomy texts
EMNLP 2022
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
NIPS 2022
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models
NIPS 2022
Recovering Private Text in Federated Learning of Language Models
NIPS 2022
Capturing Failures of Large Language Models via Human Cognitive Biases
NIPS 2022
STaR: Bootstrapping Reasoning With Reasoning
NIPS 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
NIPS 2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
NIPS 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
NIPS 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
NIPS 2022
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